2017
DOI: 10.1016/j.ijheatmasstransfer.2017.04.058
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Subdiffusion in a system consisting of two different media separated by a thin membrane

Abstract: We consider subdiffusion in a system which consists of two media separated by a thin membrane. The subdiffusion parameters may be different in each of the medium. Using the new method presented in this paper we derive the probabilities (the Green's functions) describing a particle's random walk in the system. Within this method we firstly consider the particle's random walk in a system with both discrete time and space variables in which a particle can vanish due to reactions with constant probabilities R1 and… Show more

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Cited by 19 publications
(18 citation statements)
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“…Unfortunately, the statistic is too poor to determine the error for α . Because the consistency of ASM is very similar to the consistency of 1% aqueous agarose solution for which α = 0.95 [ 40 ], we suppose that there is subdiffusion in the ASM medium and the value of the parameter α is realistic. We note that anomalous diffusion exponents as about of 0.9 are not exceptional and physically meaningful, see e.g.…”
Section: Resultsmentioning
confidence: 99%
“…Unfortunately, the statistic is too poor to determine the error for α . Because the consistency of ASM is very similar to the consistency of 1% aqueous agarose solution for which α = 0.95 [ 40 ], we suppose that there is subdiffusion in the ASM medium and the value of the parameter α is realistic. We note that anomalous diffusion exponents as about of 0.9 are not exceptional and physically meaningful, see e.g.…”
Section: Resultsmentioning
confidence: 99%
“…Unfortunately, the statistic is too poor to determine the error for α. Because the consistency of ASM is very similar to the consistency of 1% aqueous agarose solution for which α = 0.95 [9], we suppose that there is subdiusion in the ASM medium and the value of the parameter α is realistic.…”
Section: Methodsmentioning
confidence: 99%
“…In our opinion, this question should remain open, although the following facts prove the model usefulness: (1) The model has a simple physical interpretation, (2) the model provides equations of different types of diffusion that can also be derived from the other models such as the CTRW model, 4,6 (3) the boundary condition derived from this model for normal diffusion (49) has been confirmed empirically, 38 and (4) the boundary condition for classical subdiffusion (53) have provided solutions to the subdiffusion equation that coincide with the empirical results describing the release of antibiotics from the gel medium through a partially permeable membrane. 30 However, regardless of the above arguments, the following conclusion seems to be universal: the boundary conditions at the membrane should take into account the selective properties of the membrane as well as the type of diffusion in the system.…”
Section: Final Remarksmentioning
confidence: 99%
“…29 The model presented in this paper has been used to model different diffusion processes in systems with a thin membrane. 18,[30][31][32][33][34] The aim of this paper is to show that boundary conditions at the membrane should depend on the type of diffusion. We also present the new form of boundary condition at the membrane for the slow subdiffusion process.…”
Section: Introductionmentioning
confidence: 99%
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